1 citations · 1 across the 4 of their papers we have counts for
6 papers
FedHUG: Federated Heterogeneous Unsupervised Generalization for Remote Physiological Measurements
Xiao Yang, Dengbo He, Jiyao Wang +1
Remote physiological measurement gained wide attention, while it requires collecting users' privacy-sensitive information, and existing contactless measurements still rely on label…
PhysDrive: A Multimodal Remote Physiological Measurement Dataset for In-vehicle Driver Monitoring
Jiyao Wang, Xiao Yang, Qingyong Hu +6
Robust and unobtrusive in-vehicle physiological monitoring is crucial for ensuring driving safety and user experience. While remote physiological measurement (RPM) offers a promisi…
MedTVT-R1: A Multimodal LLM Empowering Medical Reasoning and Diagnosis
Yuting Zhang, Kaishen Yuan, Hao Lu +3
Accurate and interpretable multi-disease diagnosis remains a critical challenge in medical research, particularly when leveraging heterogeneous multimodal medical data. Current app…
Align the GAP: Prior-based Unified Multi-Task Remote Physiological Measurement Framework For Domain Generalization and Personalization
Jiyao Wang, Xiao Yang, Hao Lu +2
Multi-source synsemantic domain generalization (MSSDG) for multi-task remote physiological measurement seeks to enhance the generalizability of these metrics and attracts increasin…
Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model
Yuting Zhang, Hao Lu, Qingyong Hu +4
Periodic or quasi-periodic phenomena reveal intrinsic characteristics in various natural processes, such as weather patterns, movement behaviors, traffic flows, and biological sign…
Revisiting Interactions of Multiple Driver States in Heterogenous Population and Cognitive Tasks
Jiyao Wang, Ange Wang, Song Yan +2
In real-world driving scenarios, multiple states occur simultaneously due to individual differences and environmental factors, complicating the analysis and estimation of driver st…